Alternatives to AskMed

Engage with a medical-focused generative AI that not only elucidates its responses but also cites relevant references, refreshes its medical knowledge on a daily basis, and allows users to personalize and select knowledge bases. This AI comes equipped with a pre-loaded database and has been trained using over 2,300 reference datasets put together by experts in the medical field, encompassing a wide array of terminologies, medical research, clinical trials, patents, population health insights, costs, as well as public and regulatory information. It indexes numerous sources of medical research and data, ensuring a comprehensive understanding of the available information. The system is designed to receive daily updates on the latest medical findings, clinical trial results, and evolving terminologies, making it capable of processing vast quantities of documents, potentially reaching into the millions or billions. Moreover, the cluster can be scaled according to specific requirements. As a type of conversational AI, a medical chatbot employs natural language processing (NLP) technologies to communicate with users, delivering valuable medical information, guidance, or assistance. These chatbots serve various functions, including addressing general inquiries regarding diseases, health concerns, and available treatment options, thus enhancing the accessibility of medical knowledge for users everywhere.

ClinCapture's mission is to create software that saves lives. ClinCapture's technology reduces the cost of clinical trials. It streamlines data capture and protects patient privacy. Clincapture is a platform that facilitates the evaluation and development drugs, biologics and devices that have the potential to treat a wide variety of medical conditions or diseases.

Ontosight.ai serves as an advanced research assistant powered by artificial intelligence, enabling businesses and researchers to derive more informed insights through the application of natural language processing and machine learning techniques to extensive unstructured data. By allowing users to extract meaningful insights, automate various research activities, and support data-driven decision-making, it enhances operational efficiency. The platform caters to a wide range of sectors, including finance, healthcare, and market research, offering capabilities such as sentiment analysis, trend identification, and competitor evaluation. Featuring a user-friendly interface, Ontosight.ai empowers individuals to upload their datasets, streamline report creation, and tailor research inquiries, ultimately boosting productivity. Additionally, it integrates effortlessly with numerous data sources, ensuring users have a holistic understanding of their research requirements. This versatility not only enhances research quality but also fosters a more strategic approach to information management.

Osmosis AI serves as an interactive study companion seamlessly integrated into the Osmosis learning platform, aimed at assisting medical and health professional students in grasping, reviewing, and solidifying intricate subjects through a mix of AI-driven explanations and reputable educational resources. It combines Elsevier's vast collection of peer-reviewed medical textbooks and materials with the Osmosis visual learning approach, providing responses that are evidence-based, properly cited, and linked to pertinent videos, diagrams, and study aids. This innovative tool allows students to inquire in real time without disrupting their study routine, offering straightforward explanations in accessible language along with direct citations to the original sources for validation. Unlike many platforms that depend on open web data, Osmosis AI functions within a defined "walled garden" of carefully selected medical content, minimizing the occurrence of inaccuracies and ensuring alignment with the educational standards for teaching and assessment in the medical field. As a result, students can engage in a more focused and reliable learning experience that enhances their understanding of complex topics.

Cognivolt is a comprehensive cloud-based platform designed for clinical documentation and patient record management, catering to physicians, mental health specialists, and various healthcare providers. Utilizing advanced AI technology, its scribe feature seamlessly transforms consultations, dictations, uploaded audio files, typed notes, and even images of handwritten documents into structured, editable records that can be reviewed by clinicians. The platform also offers a range of functionalities, including patient charts, visit histories, appointment scheduling, a dedicated patient portal, and FHIR import/export capabilities. Additionally, it boasts clinical decision support tools that encompass risk assessments, differential diagnoses, rating scales, guideline references, coding recommendations, and checks for allergies and drug interactions, with diagnosis-related suggestions awaiting clinician validation. Clinicians enjoy the convenience of exporting records or employing a browser extension to integrate notes directly into an active browser-based electronic health record system. Designed with solo practitioners and small practices in mind, Cognivolt effectively serves both mental health and general medical fields, ensuring a versatile and efficient solution for healthcare documentation needs. The platform ultimately aims to enhance the workflow of healthcare providers while improving patient care through its robust features.

ChatGPT for Clinicians is an innovative workspace specifically crafted to enhance actual clinical practice by integrating reliable medical evidence at the point of care. This tool allows healthcare professionals to obtain immediate, cited responses based on peer-reviewed research, clinical protocols, and credible public health information, thereby facilitating faster and more assured clinical reasoning. It is tailored for various tasks, such as assessing care pathways, compiling evidence with clear citations, producing clinical paperwork, and developing informative materials for patients. The platform features specialized models and workflows designed for healthcare settings, including reusable templates and resources aimed at alleviating the administrative tasks linked to note-taking, discharge summaries, and authorization letters. Furthermore, evaluations have shown that the GPT-5.4 model utilized in this Clinicians workspace outperformed base models, competing external systems, and even traditional written responses, underscoring its effectiveness and reliability. Consequently, it represents a significant advancement in providing clinicians with the tools needed to enhance patient care.

MedAffairs AI is a cloud-based machine learning tool empowered by artificial intelligence, specifically crafted to optimize the Medical Affairs sector within the pharmaceutical industry. Leveraging an extensive repository of medical affairs information, it delivers quick and precise answers to inquiries, thereby minimizing the time users spend sifting through various drives and folders. This innovative platform facilitates the smooth incorporation of internal materials such as clinical trials, standard operating procedures, and articles, allowing users to easily obtain answers by querying their uploaded documents. Each answer provided is linked to the relevant source document, ensuring straightforward referencing. Furthermore, MedAffairs AI enables searches of both internal and external data, offering thorough insights into medical knowledge, regulatory compliance, engagement with key opinion leaders, as well as the formulation and planning of medical strategies. In this way, the tool not only saves time but also enhances the efficiency of the Medical Affairs team in their decision-making processes.

Cure AI represents a cutting-edge medical research platform that harnesses the power of artificial intelligence to grant users access to an extensive library of over 26 million scientific publications sourced from PubMed. With its AI-driven natural language processing capabilities, users can pose research questions in a conversational manner, which the system accurately decodes to return specific and relevant results. It also boasts sophisticated search filters that allow users to narrow down findings by factors such as journal, date of publication, and various other criteria, catering to individual research requirements. Additionally, Cure AI evaluates evidence based on its quality and significance, taking into account metrics like the journal's h5-index, citation tally, and the type of publication, thereby ensuring users obtain the most relevant and credible information available. The platform further enhances user experience by allowing easy transitions between AI-generated insights and original literature, streamlining the process of literature review and analysis. Moreover, it comes equipped with convenient citation tools that enable users to quickly copy or share references with just one click, simplifying the documentation process. Finally, the intuitive design of Cure AI encourages researchers to explore new avenues of inquiry with confidence and ease.

OpenEvidence is an advanced clinical decision support platform that leverages artificial intelligence, specifically designed for certified healthcare professionals, to compile, analyze, and present peer-reviewed medical evidence for quick and dependable responses to point-of-care inquiries. This comprehensive system encompasses over 160 specialties and addresses more than 1,000 diseases or therapeutic areas, delivering results supported by reputable sources like JAMA, NEJM, and established clinical guidelines. With a user-friendly and robust search interface, it provides evidence-based answers in just 5 to 10 seconds, complete with citations, while promoting transparency by displaying the references that back each response. Beyond its search capabilities, OpenEvidence boasts functionalities such as "Visits," a module that captures patient interactions, enhances documentation through clinical insights, generates notes, and seamlessly incorporates assessment and planning guidance into the workflows of healthcare providers. Furthermore, this platform ensures that medical professionals are equipped with the most relevant and up-to-date information, thereby improving patient care efficiency and effectiveness.

ScholarIQ is an online AI-powered research assistant designed to facilitate the search and analysis of scientific literature. It allows researchers to ask questions, access records from databases such as OpenAlex, ORCID, and PubMed, or even upload their own search results and source documents. The platform evaluates articles based on specific review criteria, enhances citation-based discovery through snowballing techniques, and aids users in efficiently screening records, highlighting pertinent excerpts, and extracting desired information from uploaded materials. Furthermore, it provides answers and suggested values that are linked to their respective citations, ensuring that reviewers maintain authority over decisions regarding inclusion, risk-of-bias assessments, and overall conclusions. ScholarIQ meticulously documents reviewer identities, rationale for decisions, and relevant excerpts to ensure that the review process is transparent and accountable. Additionally, it features a public research metadata atlas that connects various papers, researchers, journals, institutions, and topics, thereby fostering a more interconnected research environment. This platform is invaluable for both individual researchers and review teams engaged in thorough literature searches, evidence screening, and the execution of systematic reviews, making the research process more efficient and reliable.

Founded in 2016, Infervision stands at the forefront of AI-driven medical technology, dedicated to enhancing multidisciplinary healthcare services and operations through innovative artificial intelligence solutions. Their advanced AI offerings are designed to assist healthcare professionals across a spectrum of tasks, including disease screening, diagnosis, intervention, treatment, patient management, and medical research. Among their array of solutions, InferRead CT Lung specializes in detecting lung nodules from chest CT scans, while InferRead DR Chest focuses on identifying chest abnormalities via X-ray imaging. Moreover, InferRead CT Coronary is tailored for recognizing coronary artery stenosis during coronary CT angiography, and InferRead CT Stroke is adept at triaging hemorrhages from brain CT scans. The company also provides InferRead CT Bone for spotting chest fractures in CT images and InferRead CT Pneumonia for diagnosing and managing pneumonia cases. Beyond these, their offerings extend to InferOperate, which facilitates 3D reconstruction for thoracic, liver, and urological surgical procedures, and InferCare, a tool designed for effective patient management and image follow-up. Additionally, InferScholar acts as an AI-enhanced resource for medical research, further solidifying Infervision's commitment to transforming healthcare through AI technology. This comprehensive suite of solutions positions Infervision as a pivotal player in the evolution of medical practices.

Individuals globally are plagued by intricate illnesses and a wide array of symptoms. Yet, they all have one crucial requirement in common: the urgent demand for the quicker creation of safer and more efficient treatments. Owkin’s goal is to enable researchers in hospitals, universities, and pharmaceutical firms to comprehend the reasons behind variations in drug effectiveness among patients, streamline the drug development process, and pinpoint the optimal medication for each individual to enhance therapeutic results. Central to Owkin's research ecosystem is Owkin Loop, which links medical researchers with high-quality datasets sourced from top academic research institutions worldwide. This innovative platform is driven by two primary elements of Owkin's Software Stack: Owkin Studio, a machine learning platform, and Owkin Connect, which serves as a federated learning framework. Additionally, Owkin is actively engaged in medical research collaborations across various fields, including Oncology, Immunology, and Cardiovascular diseases, showcasing the breadth of its commitment to improving patient care. Their collaborative efforts reflect a dedication to transforming healthcare through advanced technology and data-driven insights.

AarogyaAI is a software-as-a-service platform that utilizes artificial intelligence to identify drug-resistant tuberculosis (DR-TB) within hours. Our goal is to provide rapid and precise diagnoses of DR-TB, ensuring that patients receive the most effective drug combinations for their treatment without delay. Tuberculosis is responsible for more fatalities annually than AIDS, largely because the 19 available anti-TB medications do not work for all patients, leading to uncertainty among doctors regarding the appropriate treatment options. Consequently, even though tuberculosis is treatable, a delayed diagnosis of drug-resistant forms can result in patients remaining on ineffective medications for as long as seven years. By diagnosing drug-resistant tuberculosis swiftly, we enable prompt and appropriate treatment prescriptions. Patients upload a DNA sequence to our platform, and our advanced machine learning algorithm processes this data to generate a detailed report on drug susceptibility status, allowing healthcare providers to make informed decisions about treatment. This innovative approach not only enhances patient outcomes but also aims to reduce the overall burden of tuberculosis on healthcare systems.

Journalhjelp serves as an AI-driven documentation aid tailored for healthcare professionals, significantly minimizing the time dedicated to administrative tasks during and following patient appointments. This innovative platform offers real-time or subsequent transcription of patient interactions, organizes discussions into pertinent medical notes, and produces preliminary medical documents such as referrals, certificates, and other essential forms. Clinicians have the opportunity to review, modify, and approve all content generated before it reaches completion. In addition to these features, Journalhjelp boasts a secure chat function that enables healthcare providers to engage with patient records efficiently, facilitating quick searches, extraction of vital information, and obtaining accurate responses without the need for exhaustive manual review. Designed specifically for the Norwegian healthcare landscape, Journalhjelp emphasizes the importance of data protection, compliance with GDPR regulations, and maintaining clinical oversight. This focus on security and usability ensures that healthcare professionals can provide high-quality care while streamlining their administrative responsibilities.

OctopusLM is a professional-grade medical intelligence platform built specifically for claims and medical-legal analysis. Unlike cloud-based tools, it operates offline to guarantee sovereign data privacy and regulatory compliance. The system analyzes large volumes of medical records with high clinical accuracy and legal rigor. OctopusLM enables rapid extraction of diagnoses, treatments, timelines, and causation details. It supports evidence-backed Bradford Hill causation analysis and apportionment reporting. By automating record review, it reduces case processing time by up to 70 percent. Specialty-specific intelligence allows professionals to focus only on the most relevant medical details. Source verification is instant, linking every insight directly to the original document. The platform is designed for reliability, speed, and defensible outcomes. OctopusLM modernizes medical record review without compromising trust or security.

NNScholar serves as a cutting-edge AI-driven academic research platform tailored for graduate students, faculty, and research groups. This online workspace enables users to efficiently discover and screen literature, manage paper libraries, read PDFs, answer questions, translate content, organize evidence, and strategize their research. Users have the ability to explore scholarly databases, filter through and save potential papers, sort references and PDFs, and review notes grounded in their sources. The platform also includes document-writing tools that assist in drafting or revising manuscripts and DOCX files, aligning with journal formatting requirements, posing inquiries about drafts, and ensuring proper citation and consistency. Furthermore, research agents, specialized skills, browser capabilities, and optional plugins enhance workflows related to study design, data analysis, and preparation for journal submissions. Users can start with free sign-up credits, while paid plans provide additional usage credits for more extensive access. Although native desktop applications for macOS and Windows are not yet available, the browser-based workspace offers immediate functionality for researchers. As academic needs evolve, this platform is likely to adapt and expand its features to better serve its users.

CiteDash is an innovative research and writing platform powered by artificial intelligence, aimed at enhancing the academic workflow by integrating source discovery, analysis, drafting, and citation functionalities into a cohesive system. Users can simply input a research topic, essay prompt, or inquiry, prompting a sophisticated multi-agent pipeline to automatically explore various academic databases like Semantic Scholar, PubMed, and OpenAlex to identify, assess, and synthesize pertinent literature into a well-organized draft complete with inline citations. By focusing on accuracy and reliability, CiteDash ensures that every assertion is backed by verifiable academic sources, effectively eliminating fabricated references and guaranteeing that outputs can be traced back to authentic studies. The platform accommodates an extensive variety of academic tasks, such as writing essays, developing research papers, conducting literature reviews, and preparing for exams, while providing useful features like AI-generated notes, organized outlines, and question generation for active recall, all aimed at enhancing the learning experience. Furthermore, this comprehensive approach not only saves time but also elevates the quality of academic work by facilitating a deeper understanding of the subject matter.

Limbic is an innovative clinical-AI platform specifically designed for behavioral health professionals that improves patient accessibility, speeds up assessments, and aids in therapy with reliable AI-driven tools. It integrates seamlessly into referral systems, offering Limbic Access, an interactive intake and screening agent that carries out evaluations, forecasts diagnoses, assesses risk levels, and produces comprehensive clinical reports for healthcare providers. In addition, Limbic provides Limbic Care, an AI companion for patients that offers structured CBT interventions, conversational check-ins, and ongoing support tailored to the individual's therapeutic plan. Central to this platform is the Limbic Layer, a proprietary clinical engine that operates between users and an extensive language model, ensuring safety, clinical accuracy, adherence to regulations, and uniformity. The platform's efficacy is underscored by its impressive diagnostic precision and is supported by peer-reviewed research and recognized regulatory endorsements, including its classification as a Class IIa medical device. Furthermore, Limbic's commitment to enhancing mental health treatment reflects a broader trend in healthcare towards integrating technology for improved patient outcomes.

MediLogix is an advanced clinical documentation platform powered by AI, aimed at significantly simplifying and enhancing the process of creating medical records for healthcare providers. By capturing a single patient encounter, clinicians can leverage the system’s AI, which converts that input into eight different types of comprehensive documents, including full transcripts, patient summaries, treatment plans, and instructions for wound care or medication, as well as coding suggestions, reusable templates, and protocol analyses. Unlike standard speech-to-text solutions, this AI goes further by analyzing clinical context in real-time and tailoring its outputs to align with specialty-specific nuances, such as those found in cardiology or orthopedics, while maintaining the physician's unique voice, reasoning, and decision-making patterns instead of generating generic notes. Furthermore, all outputs created by the AI are meticulously reviewed by human medical transcriptionists, ensuring not only accuracy but also the interpretation of nuanced elements like tone, sentiment, and clinical subtleties, which are vital for high-quality patient care. This blend of technology and human oversight ultimately enhances the documentation process, allowing clinicians to focus more on patient interaction.

Savana is a clinical intelligence platform that utilizes artificial intelligence to convert unstructured text from electronic medical records into valuable real-world evidence through sophisticated natural language processing techniques. Launched in 2014, Savana has facilitated the structuring and examination of billions of clinical documents in various languages and regions, revealing insights that were previously obscured within healthcare data. Its EHRead NLP models drive tools for anonymization and pseudonymization, effectively managing both structured and unstructured data on a large scale, having processed over 35 million documents to date. By providing hospitals, researchers, and health systems with actionable, research-grade evidence, Savana supports precision medicine initiatives, conducts epidemiological studies, including predictive analyses related to COVID-19, and enhances broader clinical data strategies, solidifying its position as one of Europe's leading contributors to Health Economics and Outcomes Research (HEOR). Additionally, Savana's innovative approach continues to reshape the landscape of data analysis in healthcare, promoting more informed decision-making that can ultimately improve patient outcomes.

Healthcare providers and pharmaceutical firms leverage RetinAI's software platform to effectively manage their data while benefiting from enhanced insights through automated AI analysis, thereby optimizing both clinical and research workflows. This unified data platform allows users to access and manage their information from any location at any time. It supports a variety of formats, including DICOM-compliant and proprietary types. By utilizing AI, data is harmonized, organized, aggregated, and analyzed on a large scale to uncover insights related to disease progression, treatment outcomes, and predictions of disease advancement. Additionally, the platform facilitates collaborative research within organizations by providing secure cloud-based access to data. It serves as a central hub for data, medical, and digital teams. Users can conduct AI-driven analysis on their OCT volumes, focusing on layer and fluid segmentation. Immediate evaluations can be performed to consolidate insights into a single platform. Collaborators can be swiftly invited to access and interact with datasets according to specified permission levels, fostering a more integrated research environment. This comprehensive approach not only streamlines data management but also enhances collaborative efforts across different teams and disciplines.

VIPER streamlines the process of screening by automating remote patient identification right at the diagnosis stage and ensuring qualified enrollment. By leveraging artificial intelligence, VIPER efficiently matches patients to precision trials during a critical enrollment period by utilizing lab-agnostic genomic data, electronic medical records (EMR), and pathology information tailored to both the patient and the research requirements. The system employs a specialized matching engine that searches for the most suitable clinical trials corresponding to a patient's specific diagnosis at the moment they receive it. Additionally, through seamless workflow integration, VIPER provides real-time alerts regarding a patient’s eligibility for available trials, ensuring the entire care team is informed during this narrow enrollment timeframe. Furthermore, VIPER features interactive dashboards that offer extensive data mining capabilities, allowing for the aggregation of site and study-level patient data to effectively meet study key performance indicators (KPIs). This comprehensive approach not only enhances trial recruitment efficiency but also supports researchers in achieving their goals more effectively.

Opalite Health is revolutionizing the healthcare communication landscape by creating a comprehensive language layer. Established by a physician alongside a former Apple engineer, this Y Combinator-backed enterprise delivers real-time AI medical interpretation in over 150 languages and dialects for various healthcare facilities such as hospitals and clinics. Opalite seamlessly integrates into established EHR and telehealth systems, generating clinical documentation and maintaining auditable records, all while ensuring compliance with HIPAA regulations. In a blinded validation study involving Cantonese, Mandarin, and Spanish, Opalite demonstrated a reduction of over 90% in errors compared to certified medical interpreters. Furthermore, a customer case study indicated that the platform achieved a 50% decrease in interpretation expenses and a 22% reduction in time spent per interpreted visit. The platform is specifically designed to enhance language access and support care teams in minimizing delays, improving consistency, and maintaining clinical workflows, ultimately leading to better patient outcomes. By addressing language barriers in healthcare, Opalite aims to transform the way medical interpretation is conducted, making it more efficient and effective.

Omda MedSciNet solutions enhance the quality, usability, and administration of medical data throughout its lifecycle from collection to analysis. This secure and standardized software streamlines the process for clinical researchers and other professionals in healthcare and academia, allowing for the efficient gathering and examination of well-organized medical data. The dedicated Omda team excels in the development and management of customized database applications, as well as designing clinical studies tailored for medical research and quality registries. The Omda MedSciNet study platform offers a dependable, feature-rich, and highly adaptable online environment suitable for hosting and managing complex study and clinical trial systems. With a proven track record spanning 20 years, Omda MedSciNet has effectively supported studies and clinical trials of various scopes and sizes. Standard implementations come equipped with a comprehensive array of components essential for launching fully functional studies or clinical trials, ensuring that researchers have all the necessary tools at their disposal. This commitment to quality and customization positions Omda MedSciNet as a leader in the field of medical data management.

Dr7.ai positions itself as the first global hub for medical AI, offering seamless access to a growing ecosystem of healthcare-focused models through a single, unified API. With support for 15+ models including MedGemma, BioGPT, Med-PaLM 2, and multimodal vision-language systems, the platform covers use cases like clinical documentation, pathology analysis, radiology interpretation, drug simulation, and global Q&A. Its healthcare-specific optimization makes it uniquely suited for applications in hospitals, research labs, and biotech companies. Dr7.ai simplifies the development process with instant onboarding, unified integration, and performance benchmarking that allows teams to compare speed, accuracy, and cost across different models. The platform emphasizes compliance with HIPAA/GDPR standards, complete encryption, and role-based permissions to protect sensitive patient data. Real-time updates ensure users always have access to the latest advancements, while multilingual capabilities expand accessibility across global markets. With 99.9% uptime and under-100ms response times, it’s built for reliable, scalable medical applications. Dr7.ai is transforming the healthcare AI landscape by making the world’s best medical AI models accessible in one secure and powerful interface.

DentalRx offers a free clinical resource to dentists and dental students. Download the app to get up-to date dental guidelines, drug information and clinical support. DentalRx helps dentists make informed, safe and efficient decisions about prescribing medications or creating treatment plans. DentalRx, a new app designed specifically for dentists and developed in collaboration with Canadian professors of dentistry, provides access to essential tools such as dental drug monographs and dose calculators. It also includes clinical guidelines and safety guidelines to ensure accurate treatment planning and safe prescribing. Join the thousands of dental professionals who already use DentalRx to elevate clinical practice and improve patient outcomes. Start using DentalRx today and enjoy a faster, more efficient, and safer way to practice clinical dental care. Download DentalRx now!

The Medidata Clinical Cloud represents our innovative platform designed to revolutionize the clinical trial journey for patients, sponsors, CROs, and research institutions. As the sole comprehensive technology solution focused exclusively on clinical research, the Medidata Clinical Cloud addresses the entire research spectrum from inception to completion. Our platform enables organizations in the life sciences and medical device sectors to reduce development expenses, manage risks effectively, and expedite the introduction of treatments and devices to the marketplace. Whatever selection you make for your clinical trial initiatives, you will benefit from the capabilities of the Medidata Clinical Cloud. At Medidata, we are at the forefront of the digital evolution in clinical research. With the power of artificial intelligence, machine learning, and sophisticated analytics, our platform connects researchers, study coordinators, investigators, and patients, thereby hastening the research process. Additionally, it provides a regulatory-compliant, patient-friendly electronic informed consent solution for clinical trials, ensuring a smoother experience for all parties involved. This integration of advanced technology not only streamlines operations but also enhances the overall quality of clinical research.

Onno – Simplifying Your Medical Documents. Struggling to understand a doctor’s letter or a radiology report? Onno provides an easy-to-understand translation of your medical documents. Simply upload any medical paperwork, and the AI, vetted by medical professionals, will clarify the medical jargon so you can grasp the content fully. You can access a free summary, while the comprehensive version, which includes detailed explanations of all terms, recommended questions for your next medical appointment, and advice on subsequent steps, is priced at €18.50. There's no need for registration or creating an account, ensuring a completely anonymous experience that adheres to GDPR guidelines and operates seamlessly in your browser. The service is available in both German and English. Currently, Onno is undergoing validation through two clinical studies at Uniklinikum Dresden in Germany. With more than 60,000 reports translated and over 90% of users finding it beneficial, it stands out as a highly utilized and reliable medical translation resource. Additionally, Onno was awarded the Deutscher KI-Startup-Preis 2025 by DIE WELT, highlighting its exceptional impact in the field. This innovative approach not only enhances patient understanding but also facilitates better communication between patients and healthcare providers.

Latent Health is an innovative medication access platform powered by artificial intelligence, designed to enhance and expedite the administrative tasks that often hinder patient access to crucial specialty and life-saving therapies, particularly in the areas of prior authorizations, appeals, and 340B eligibility processes. Its advanced clinical-AI technology analyzes and interprets electronic health records alongside external resources, including clinical guidelines and research literature, to extract pertinent patient information, respond to specific authorization inquiries, assess medical benefit criteria, and even generate appeal letters, thereby significantly reducing review and turnaround times from several hours or days to mere minutes while enhancing accuracy and compliance. The platform seamlessly integrates with leading electronic health record (EHR) systems, adhering to healthcare standards such as SMART on FHIR, and it also supports centralized pharmacy operations. Additionally, it offers workflow orchestration capabilities that alleviate administrative challenges, boost operational efficiency, and enable clinical staff to devote more time to direct patient care, ultimately leading to improved health outcomes and patient satisfaction. By streamlining these essential processes, Latent Health is poised to transform the way healthcare providers manage medication access.

AI-Enhanced Clinical Automated with Enterprise-Level Compliant: Our platform uses AI models such as OpenAI’s GPT-432K and BioClinical BERT which have been extensively researched and recognized for their clinical performance by premier scientific journals.

At Enlitic, we believe that the power of artificial intelligence can transform healthcare by enabling effective data management and improving clinical workflows. Our mission at Enlitic is to intelligently manage healthcare data using the power of artificial intelligence to expand capacity and improve clinical workflows and create a foundation for a real-world evidence medical image database for healthcare providers. Through our Enlitic Framework, we aim to reimagine healthcare intelligence, enabling healthcare professionals to make informed decisions and provide personalized care to every patient.

ClinicalKey serves as a robust clinical search platform that assists healthcare practitioners in making well-informed choices by offering a broad array of medical resources. It encompasses various materials, such as peer-reviewed journals, textbooks, multimedia assets, and evidence-based clinical guidelines. With its user-friendly search capabilities, users can swiftly locate pertinent information, thus improving both clinical practice and patient outcomes. The platform is regularly refreshed to guarantee that healthcare professionals have access to the latest medical insights. Furthermore, it smoothly integrates with electronic health record systems, streamlining the process of retrieving information in clinical settings. In addition, ClinicalKey provides features like a presentation tool and curated reading lists, which support ongoing medical education and career advancement. This comprehensive approach not only enhances individual knowledge but also contributes to the overall efficiency of healthcare delivery.

Tempus AI, a prominent health technology firm based in Chicago, Illinois, is dedicated to transforming patient care through advanced artificial intelligence and precision medicine. By utilizing data and AI, the company strives to create personalized treatment plans across a range of medical specialties, such as oncology, cardiology, radiology, and mental health. Their all-encompassing platform combines genomic sequencing, clinical data, and AI-powered analytics, equipping healthcare providers and researchers with actionable insights. Tempus offers a holistic understanding of patients via various testing methods, including tissue and liquid biopsies, DNA and RNA sequencing, somatic and germline tests, as well as tumor-normal matched profiling and minimal residual disease monitoring options. Additionally, they provide a swift and dependable platform for ordering tests, gaining patient insights, and seamlessly integrating AI-driven technologies into practice. Furthermore, Tempus features an innovative generative AI-enabled clinical assistant that places patient insights readily at your fingertips, enhancing the overall efficiency of healthcare delivery. This commitment to leveraging cutting-edge technology exemplifies Tempus AI's mission to improve health outcomes and advance medical research.

Circle Health is an innovative AI platform tailored for behavioral health and addiction treatment facilities, offering digital assistants designed to streamline clinical documentation, utilization review, compliance, and claims processing throughout the entire patient journey from intake to discharge. The platform's Charting Assistant efficiently records encounters using ambient listening, dictation, typing, or file uploads, and it produces notes in various formats such as SOAP, DAP, BIRP, and templates specific to clinics, while also recommending ICD codes and verifying medical necessity instantly. In addition, Circle Health meticulously reviews charts, assembles comprehensive authorization packets, monitors clinical and payer standards, assists with live payer communications, and oversees eFax submissions for both initial and ongoing treatment authorizations. Furthermore, the platform consistently evaluates documentation against the standards set by payers, regulatory bodies, and accreditation organizations, delivering real-time compliance metrics to ensure adherence to industry requirements. By leveraging advanced technology, Circle Health enhances the operational efficiency of behavioral health facilities, ultimately improving patient care.

PrescriberPoint serves as a comprehensive platform for prescribing support, designed to expedite the process of getting patients onto therapy by consolidating drug research, insurance coverage, prior authorization, savings opportunities, samples, and patient resources into one accessible hub. Healthcare professionals can easily search for FDA-approved drugs and examine essential information such as label details, dosage instructions, contraindications, drug interactions, clinical summaries, formulary coverage, prior authorization criteria, and savings programs, all without the need to consult outdated resources. Additionally, the platform facilitates medication comparisons and allows users to browse options by indication, manufacturer, class, or therapeutic area, thereby simplifying the evaluation of various prescribing alternatives. Furthermore, practice-level features empower teams to track prescribed medications, remain informed about current changes, verify sample eligibility, submit sample requests, and obtain educational materials for patients. This integrated approach not only enhances efficiency for healthcare providers but also ultimately improves patient care outcomes by streamlining the prescribing process.

Feather is a medical AI chat platform that complies with HIPAA regulations, tailored for healthcare professionals to manage sensitive patient information securely while enhancing operational efficiency. Its offerings include AI-driven clinical transcription, DICOM image analysis for various medical imaging modalities, and the automatic creation of SOAP and BIRP clinical notes, all supported by secure cloud storage for confidential medical records. Key Features - An interactive AI chat interface that allows seamless engagement with patient records, laboratory results, and clinical documentation within a unified workspace. - Assurance of HIPAA compliance in the secure management of protected health information (PHI) through encrypted cloud storage solutions for medical data. - Automation of clinical documentation processes via AI, generating SOAP and BIRP notes from live interactions to reduce administrative burdens. - Advanced AI capabilities for analyzing medical images such as MRI, CT scans, X-rays, and ultrasounds, enhancing diagnostic precision. - Facilitation of summarization and critical analysis of various medical reports, including laboratory, radiology, and pathology findings, to support informed decision-making. - The platform ultimately aims to enhance the efficiency and safety of healthcare delivery through innovative technological integration.

ZEISS VisioGen is an ophthalmology-focused patient communication platform that combines artificial intelligence with mandatory human review. Patients submit inquiries through the practice's website, giving staff a centralized and structured way to manage incoming questions. The system uses AI to prepare draft responses based on the patient's inquiry and predefined clinical communication standards. A licensed optometrist then reviews every response before it is delivered to the patient. This verification process is designed to improve consistency and speed while maintaining professional oversight throughout the communication workflow. ZEISS VisioGen supports automated patient messaging, secure website integration, inquiry organization, reporting, and workflow analytics. The platform is focused on communication rather than diagnosis, and patients who require medical advice or treatment guidance are directed to their healthcare provider. Its HIPAA-compliant communication framework is intended to support privacy and security requirements associated with patient interactions. ZEISS VisioGen helps ophthalmology practices create a more responsive patient experience without relying on a fully autonomous healthcare chatbot.

Transforming access to specialized cardiac care through cutting-edge AI and cloud solutions, Cardiologs offers a distinctive arrhythmia diagnostic platform that is both vendor-neutral and cloud-based, harnessing the power of Artificial Intelligence. This technology holds the potential to equip healthcare providers with smart tools while ensuring patients receive top-tier medical attention. The clinically validated algorithms developed by Cardiologs can identify over 20 different types of arrhythmia events. With a mission to make cardiology diagnostics more scalable and universally accessible, Cardiologs provides essential resources for clinicians worldwide to meet the growing demand for cardiac assessments. At Cardiologs, we cherish individuals driven by passion and enthusiasm for advancing medical technology. Our commitment stems from the knowledge that our innovations can significantly impact the lives of patients and healthcare professionals alike, inspiring us to strive for excellence daily. As pioneers in the field of medical-grade AI, we are dedicated to shaping the future of cardiac care through our relentless pursuit of innovation.

Clara provides specialized tools and pre-trained AI models that are driving significant advancements across various sectors, such as healthcare technologies, medical imaging, pharmaceutical development, and genomic research. Delve into the comprehensive process of developing and implementing medical devices through the Holoscan platform. Create containerized AI applications using the Holoscan SDK in conjunction with MONAI, and enhance deployment efficiency in next-gen AI devices utilizing the NVIDIA IGX developer kits. Moreover, the NVIDIA Holoscan SDK is equipped with acceleration libraries tailored for healthcare, alongside pre-trained AI models and sample applications designed for computational medical devices. This combination of resources fosters innovation and efficiency, positioning developers to tackle complex challenges in the medical field.

Medgram serves as a comprehensive clinical platform tailored for healthcare professionals who have been verified, integrating various documentation tools with a robust medical networking system. Its array of features encompasses an ambient clinical scribe, a note generator, a patient education tool, a chart summarizer, clinical calculators and references, as well as imaging and lab support tools, all augmented by curbside consultations, mentorship opportunities, medical case discussions, and specialty exchanges. Each user undergoes verification through an NPI-based process that usually takes less than a minute to complete. Medgram is available at no cost to all authenticated healthcare providers, requiring no subscriptions for its essential features. It seamlessly integrates with existing electronic health records via a complimentary Chrome extension. Developed to enhance clinical judgment rather than supplant it, the content produced by Medgram is intended for review by qualified professionals before any clinical application. The platform not only fosters collaboration among healthcare providers but also promotes continuous learning through its diverse array of resources.

FaceMed.ai gives physicians their time and clarity back before every encounter. Emily, its multimodal AI intake assistant, conducts patient histories through a natural, FaceTime-like video conversation before the visit. She sees, hears and speaks with patients, asking adaptive follow-up questions guided by each physician's protocols. Patients simply open a link and talk, without downloading an app or completing lengthy forms. Physicians often spend 15–20 minutes of valuable consultation time asking repetitive history questions, clarifying incomplete information and documenting patient responses. Traditional intake forms collect answers but cannot explore important details. Ambient AI scribes document the conversation, but physicians still need to conduct the history-taking themselves. Emily changes that. She conducts the history interview before the appointment, transforming repetitive intake work into a structured, chart-ready clinical history that physicians can initially review in just 30–40 seconds. The result is a richer starting point for every consultation. FaceMed.ai organizes the history of present illness (HPI), past medical history, medications, allergies, social history, relevant symptoms, visual observations and follow-up details into a clear, clinician-facing report. Instead of starting from scratch, physicians can focus on confirming important information, examining the patient and making clinical decisions.

The successful evaluation of drug treatments and their protocols hinges on the effective gathering and sharing of thorough, timely, and high-quality data. To support this need, the Omda Compos suite of solutions is specifically crafted to enhance the management and effortless exchange of medical information across the clinical landscape. This innovative platform guarantees that users and applications involved in clinical trials and registries have easy access to vital data, fostering improved collaboration and effective data usage. At the heart of the Compos platform lies Omda Compos QR, which features a sophisticated database structure, data warehousing functions, user management, and other critical elements that uphold data integrity throughout the entire process, from collection to analysis. Maintaining streamlined user access and efficient logging practices is crucial for any clinical registry or trial. Within Omda Compos QR, user roles are defined to regulate access to designated sites, thereby enhancing security and control over the data management process. By prioritizing these features, the platform not only supports researchers but also improves the overall quality of clinical data handling.

Health Studio™ provides an innovative, all-encompassing AI platform that brings together patient care, clinical research, and remote monitoring into one cohesive system. By effectively linking wearables, medical instruments, and patient information, it offers immediate insights, optimizes workflows, and improves health outcomes, thus revolutionizing healthcare into a more interconnected and data-centric journey. This advancement not only benefits healthcare providers but also empowers patients through better access to their health information.

mdhub serves as an AI-driven operating system tailored for behavioral health clinics, integrating specialized AI agents that manage various tasks such as admissions, clinical documentation, billing, scheduling, care coordination, and compliance with charting regulations on a daily basis. Specifically designed for modern mental health facilities, mdhub synchronizes AI personnel and clinic staff within a unified system, enabling seamless operational workflows without the need for continuous handoffs, manual coordination, or disparate tools. This AI-centric platform is crafted to support the unique demands of behavioral health practices, ensuring that its virtual teammates are adept at addressing the requirements of psychiatry, therapy, addiction recovery, and counseling services. Among its features, Emma, the clinical assistant powered by mdhub, captures details of behavioral health sessions in real time and produces essential documentation, including SOAP, DAP, BIRP notes, progress reports, psychiatric assessments, biopsychosocial evaluations, updates to treatment plans, diagnosis codes, presenting issues, and recommended interventions. By streamlining these processes, mdhub not only enhances efficiency but also allows healthcare providers to focus more on patient care. This innovative approach ultimately leads to improved outcomes for both clinics and their clients.

Revolutionizing medical coding and auditing through artificial intelligence, our platform enhances the efficiency of manual inpatient coding processes, elevates the quality of documentation, and empowers your team to concentrate on more valuable tasks. Leading hospitals are experiencing significant advancements thanks to Semantic Health’s innovative solutions. By leveraging bespoke clinical AI and natural language processing algorithms, developed from millions of medical records by our exceptional AI experts, we can analyze clinical and coded data with precision. This enables our coding and auditing systems to grasp intricate clinical contexts, adapt to evolving coding guidelines, and identify high-quality coding and auditing prospects, all supported by clear evidence from clinical documentation. By integrating AI into the traditionally labor-intensive processes of medical coding and auditing, you can save time and enhance your revenue cycle. Furthermore, Semantic Health provides hospitals and healthcare systems with a powerful inpatient auditing platform designed to conduct comprehensive pre-bill reviews of claims data, ensuring that every detail is meticulously checked before submission. Ultimately, this approach not only streamlines operations but also significantly reduces the risk of errors.